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Working IoT, AI/ML and embedded builds with abstracts, component lists, documentation, and developer support — ready for your final-year submission.
AI-Powered Resume Screening & Candidate Ranking System
This project designs and implements resume screening & candidate ranking system by applying ensemble machine learning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Sentiment Analysis Dashboard for Social Media Brand Monitoring
This project designs and implements sentiment analysis dashboard for social media brand monitoring by applying classical ML classifiers to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Powered Resume-to-Job Matching Engine
This project designs and implements resume-to-job matching engine by applying hybrid rule-based and ML reasoning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Based Plagiarism Detection System for Academic Documents
This project designs and implements plagiarism detection system for academic documents by applying computer vision + OCR pipelines to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Based Handwriting Recognition for Digitized Note-Taking
This project designs and implements handwriting recognition for digitized note-taking by applying ensemble machine learning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Based Speech Emotion Recognition System
This project designs and implements speech emotion recognition system by applying transformer-based NLP to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Intelligent Email Spam & Phishing Classifier
This project designs and implements email spam & phishing classifier by applying computer vision + OCR pipelines to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI Chatbot for College Admission Enquiry Automation
This project designs and implements ai chatbot for college admission enquiry automation by applying transformer-based NLP to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Intelligent Customer Support Ticket Classification System
This project designs and implements customer support ticket classification system by applying classical ML classifiers to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
AI-Driven Personalized Learning Recommendation Platform
This project designs and implements personalized learning recommendation platform by applying ensemble machine learning to a real-world decision-support problem. The system ingests relevant input data, processes it through a trained model, and exposes predictions/insights through a simple web dashboard for end users.
Waste to Energy: Arduino-Based Thermoelectric Energy Harvesting Using TEG Modules
With the growing global emphasis on sustainable energy solutions, the conversion of waste heat into usable electrical energy has emerged as a promising strategy. This project presents a waste-to-energy harvesting system utilizing Thermoelectric Generator (TEG) modules to convert heat energy into electricity. The system is built around an Arduino Uno microcontroller, which monitors and manages energy generation in real-time. Heat from waste sources is applied to the TEG modules, producing a DC voltage output, which is regulated using a buck-boost converter to maintain consistent voltage levels. An LCD (16x2) display provides live data on the voltage output, supported by a voltmeter for validation. LED indicators are used to demonstrate successful energy output and system status. The system illustrates a practical and scalable approach for micro-energy harvesting from ambient or industrial waste heat, aligning with green energy goals. Its simple design, low cost, and adaptability make it suitable for educational, industrial, and rural applications where waste heat is abundant and underutilized.
smart street Light
Conventional street lighting systems consume substantial energy and often remain powered regardless of environmental lighting conditions or pedestrian activity, leading to energy wastage. To address this issue, this project proposes an IoT-based Smart Street Light System designed to optimize energy usage by dynamically controlling street lights based on environmental and motion conditions. The system employs a NodeMCU microcontroller to collect data from an array of sensors, including an LDR (Light Dependent Resistor) sensor to detect ambient light levels and IR (Infrared) sensors to detect human or vehicular movement near the light pole. Based on sensor inputs, the system intelligently turns the LED light on or off via a relay module. A stick-mounted setup simulates real-world deployment of the street light pole. When ambient light is sufficient (e.g., during the daytime), the street light remains off, while in low-light conditions, it turns on only if movement is detected, thus conserving energy. This smart lighting solution represents a cost-effective and sustainable advancement in urban infrastructure, promoting intelligent energy management and public safety.